{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.curdir\n",
    "os.chdir(\"./lecture_of_teacher/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "- [ch02_Tools_and_Fundamentals](./lecture_of_teacher/ch02_Tools_and_Fundamentals.ipynb)\n",
      "\n",
      "- [ch03_List_and_Tuple](./lecture_of_teacher/ch03_List_and_Tuple.ipynb)\n",
      "\n",
      "- [ch04_Dictionary_and_Set_01](./lecture_of_teacher/ch04_Dictionary_and_Set_01.ipynb)\n",
      "\n",
      "- [ch04_Dictionary_and_Set_02](./lecture_of_teacher/ch04_Dictionary_and_Set_02.ipynb)\n",
      "\n",
      "- [ch05_Loop_and_Selection](./lecture_of_teacher/ch05_Loop_and_Selection.ipynb)\n",
      "\n",
      "- [ch06_String](./lecture_of_teacher/ch06_String.ipynb)\n",
      "\n",
      "- [ch07_Regular_Expression](./lecture_of_teacher/ch07_Regular_Expression.ipynb)\n",
      "\n",
      "- [ch08_Functions](./lecture_of_teacher/ch08_Functions.ipynb)\n",
      "\n",
      "- [ch09_OOP](./lecture_of_teacher/ch09_OOP.ipynb)\n",
      "\n",
      "- [ch10_Network_and_Database_1](./lecture_of_teacher/ch10_Network_and_Database_1.ipynb)\n",
      "\n",
      "- [ch10_Network_and_Database_2](./lecture_of_teacher/ch10_Network_and_Database_2.ipynb)\n",
      "\n",
      "- [ch11_Numpy_Package](./lecture_of_teacher/ch11_Numpy_Package.ipynb)\n",
      "\n",
      "- [ch12_Pandas_Package](./lecture_of_teacher/ch12_Pandas_Package.ipynb)\n",
      "\n",
      "- [ch13_Matplotlib_and_Visualization](./lecture_of_teacher/ch13_Matplotlib_and_Visualization.ipynb)\n",
      "\n",
      "- [ch14_Simple_Line_Plots_1](./lecture_of_teacher/ch14_Simple_Line_Plots_1.ipynb)\n",
      "\n",
      "- [ch14_Simple_Line_Plots_2](./lecture_of_teacher/ch14_Simple_Line_Plots_2.ipynb)\n",
      "\n",
      "- [ch15_Visualizing_Errors_1](./lecture_of_teacher/ch15_Visualizing_Errors_1.ipynb)\n",
      "\n",
      "- [ch15_Visualizing_Errors_2](./lecture_of_teacher/ch15_Visualizing_Errors_2.ipynb)\n",
      "\n",
      "- [ch16_Histograms,_Binnings_Density_1](./lecture_of_teacher/ch16_Histograms,_Binnings_Density_1.ipynb)\n",
      "\n",
      "- [ch16_Histograms,_Binnings_Density_2](./lecture_of_teacher/ch16_Histograms,_Binnings_Density_2.ipynb)\n",
      "\n",
      "- [ch17_ColorBars_1](./lecture_of_teacher/ch17_ColorBars_1.ipynb)\n",
      "\n",
      "- [ch17_ColorBars_2](./lecture_of_teacher/ch17_ColorBars_2.ipynb)\n",
      "\n",
      "- [ch18_Text_and_Annotation_1](./lecture_of_teacher/ch18_Text_and_Annotation_1.ipynb)\n",
      "\n",
      "- [ch18_Text_and_Annotation_2](./lecture_of_teacher/ch18_Text_and_Annotation_2.ipynb)\n",
      "\n",
      "- [ch19_Customizing_Matplotlib_1](./lecture_of_teacher/ch19_Customizing_Matplotlib_1.ipynb)\n",
      "\n",
      "- [ch19_Customizing_Matplotlib_2](./lecture_of_teacher/ch19_Customizing_Matplotlib_2.ipynb)\n",
      "\n",
      "- [ch20_Geographic_Data_and_Basemap](./lecture_of_teacher/ch20_Geographic_Data_and_Basemap.ipynb)\n",
      "\n",
      "- [ch20_Visualization_with_Seaborn](./lecture_of_teacher/ch20_Visualization_with_Seaborn.ipynb)\n",
      "\n",
      "- [ch23_machine_learning](./lecture_of_teacher/ch23_machine_learning.ipynb)\n",
      "\n",
      "- [ch26_vectory](./lecture_of_teacher/ch26_vectory.ipynb)\n",
      "\n",
      "- [ch27_conditional_probility](./lecture_of_teacher/ch27_conditional_probility.ipynb)\n",
      "\n",
      "- [ch28_machine_leanring](./lecture_of_teacher/ch28_machine_leanring.ipynb)\n",
      "\n",
      "- [ch29_Binarizer](./lecture_of_teacher/ch29_Binarizer.ipynb)\n",
      "\n",
      "- [ch31_Least_Squred](./lecture_of_teacher/ch31_Least_Squred.ipynb)\n",
      "\n",
      "- [ch32_Linear_Regression_Analysis](./lecture_of_teacher/ch32_Linear_Regression_Analysis.ipynb)\n",
      "\n",
      "- [ch34_SVM](./lecture_of_teacher/ch34_SVM.ipynb)\n",
      "\n",
      "- [ch35_Decision_Tree](./lecture_of_teacher/ch35_Decision_Tree.ipynb)\n",
      "\n",
      "- [ch36_kNN](./lecture_of_teacher/ch36_kNN.ipynb)\n",
      "\n",
      "- [ch37_skimage](./lecture_of_teacher/ch37_skimage.ipynb)\n",
      "\n",
      "- [ch38_MLia](./lecture_of_teacher/ch38_MLia.ipynb)\n",
      "\n",
      "- [ch39_KMeans](./lecture_of_teacher/ch39_KMeans.ipynb)\n",
      "\n",
      "- [ch40_Apriori](./lecture_of_teacher/ch40_Apriori.ipynb)\n",
      "\n",
      "- [ch41_Affinity_Analysis](./lecture_of_teacher/ch41_Affinity_Analysis.ipynb)\n",
      "\n",
      "- [ch42_svd](./lecture_of_teacher/ch42_svd.ipynb)\n",
      "\n",
      "- [ch43_PCA](./lecture_of_teacher/ch43_PCA.ipynb)\n",
      "\n",
      "- [ch44_sklearn](./lecture_of_teacher/ch44_sklearn.ipynb)\n",
      "\n",
      "- [ch46_MapReduce](./lecture_of_teacher/ch46_MapReduce.ipynb)\n",
      "\n",
      "- [howwork_day12](./lecture_of_teacher/howwork_day12.ipynb)\n",
      "\n",
      "- [regular_expression](./lecture_of_teacher/regular_expression.ipynb)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for file in os.listdir():\n",
    "    if file.endswith(\".ipynb\"):\n",
    "        title = file.split(\".\")\n",
    "        temp =\"- [\" +title[0] + \"]\" + \"(./lecture_of_teacher/\" + file +\")\\n\"\n",
    "        print(temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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